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Extended Kalman Filter Based Speed Sensorless AC Motor Control With Parameter Estimation
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| Author(s) |
D. Fodor; K. Bíró; S. Vajda |
| Abstract |
This paper describes a method for estimating the rotor resistance as a parameter for speed sensorless control of an AC motor. Properly the Extended Kalman Filter (EKF) is used for estimating the state variables and parameters. The EKF algorithm and its adaptation to the motor model is described by rigorous mathematical representation and was realized in MATLAB/Simulink. The results show good dynamic behavior suitable for real-time DSP implementation. The purpose of this work is to approximate the real value of the rotor resistance giving a base for an adaptive control algorithm which results in a robust and high performance control in any speed range. |
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| Filename: | EPE-PEMC2002 - T9-054 - Fodor.pdf |
| Filesize: | 346.1 KB |
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| Type |
Members Only |
| Date |
Last modified 2004-05-25 by System |
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